Predicting Response to Intravesical Bacillus Calmette-Guerin Immunotherapy: Are We There Yet? A Systematic Review

被引:117
作者
Kamat, Ashish M. [1 ]
Li, Roger [1 ]
O'Donnell, Michael A. [2 ]
Black, Peter C. [3 ]
Roupret, Morgan [4 ]
Catto, James W. [5 ,6 ]
Comperat, Eva [7 ]
Ingersoll, Molly A. [8 ,9 ]
Witjes, Wim P. [10 ]
McConkey, David J. [11 ]
Witjes, J. Alfred [12 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Urol, 1515 Holcombe Blvd,Unit 1373, Houston, TX 77030 USA
[2] Univ Iowa, Dept Urol, Iowa City, IA 52242 USA
[3] Univ British Columbia, Dept Urol Sci, Vancouver, BC, Canada
[4] Univ Paris Sorbonne, Grp Hosp Pitie Salpetriere, AP HP, Dept Urol,Fac Med Pierre & Marie Curie, Paris, France
[5] Royal Hallamshire Hosp, Sheffield, S Yorkshire, England
[6] Univ Sheffield, Sheffield, S Yorkshire, England
[7] Univ Paris 06, Tenon Hosp, AP HP, Dept Pathol, Paris, France
[8] Inst Pasteur, Dept Immunol, Paris, France
[9] INSERM, U1223, Paris, France
[10] EAU Res Fdn, EAU Cent Off, Arnhem, Netherlands
[11] Johns Hopkins Sch Med, Greenberg Bladder Canc Inst, Baltimore, MD USA
[12] Radboud Univ Nijmegen, Med Ctr, Dept Urol, Nijmegen, Netherlands
关键词
Bladder cancer; Immunotherapy; BCG; Response prediction; Personalized therapy; SUPERFICIAL BLADDER-CANCER; TRANSITIONAL-CELL CARCINOMA; INVASIVE UROTHELIAL CARCINOMA; IN-SITU HYBRIDIZATION; PHASE-III TRIAL; BCG IMMUNOTHERAPY; HIGH-RISK; PROGNOSTIC-FACTORS; GENE POLYMORPHISM; DENDRITIC CELLS;
D O I
10.1016/j.eururo.2017.10.003
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Context: Bacillus Calmette-Guerin (BCG) is currently the most effective intravesical therapy for nonmuscle invasive bladder cancer, reducing not only recurrence rates but also preventing progression and reducing deaths. However, response rates to BCG vary widely and are dependent on a multitude of factors. Objective: To review existing data on clinical, pathologic, immune, and molecular markers that allow prediction of BCG response. Evidence acquisition: PubMed and MEDLINE search of English language literature was conducted from its inception to July 2017 using appropriate search terms. Following systematic literature review and analysis of data, consensus voting was used to generate the content of this review. Evidence synthesis: As seen in the EORTC and CUETO risk nomograms, clinicopathologic features, especially tumor stage and grade, are the most effective predictors of BCG response. Data are less robust with regards to the association of response with age, female sex, recurrent tumors, multiplicity of tumors, and the presence of carcinoma in situ. Single biomarkers, such as tumor p53 and urinary interleukin-2 expression, have had limited success in predicting BCG response, possibly due to the multifaceted nature of the generated immune response. More comprehensive biomarker panels (eg, urinary cytokines), have a more robust correlation with response, as do patterns of urinary cytologic fluorescent in-situ hybridization examination. Gene expression data correlate with disease progression, but studies examining potential associations with BCG response are limited. Conclusions: Currently, the best predictors of BCG response are clinicopathologic features such as tumor grade and stage. Panels of urinary cytokines, as well as fluorescent in-situ hybridization patterns of cytologic anomalies, appear to be promising biomarkers. The complexity of the immune response to BCG and the heterogeneity of bladder cancer suggest that future studies should amalgamate measures reflecting innate immune response and tumor/stromal gene expression before these can be adopted for clinical use. Patient summary: Bacillus Calmette-Guerin (BCG) immunotherapy is an effective treatment for many patients with nonmuscle invasive bladder cancer. An individual's response to BCG can be predicted by using various features of the cancer. In the future, predictive markers using molecular measures of the tumor type and the immune response to BCG may allow us to precisely know an individual's likely outcome after BCG treatment. (C) 2017 European Association of Urology. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:738 / 748
页数:11
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